Distribution Network Reconfiguration Using Genetic Algorithm for Loss Reduction: A Case Study of Katunje Feeder, Bhaktapur

Authors

  • Rakesh Gwachha Department of Electrical Engineering, Khwopa College of Engineering, Tribhuvan University
  • Tanus Bikram Malla Department of Electrical Engineering, Khwopa College of Engineering, Tribhuvan University
  • Yogesh Bhattarai Research and Development Unit, Khwopa College of Engineering, Tribhuvan University
  • Rupesh Gautam Department of Electrical Engineering, Khwopa College of Engineering, Tribhuvan University

DOI:

https://doi.org/10.3126/jsce.v10i1.61018

Keywords:

Distribution Network Reconfiguration, Metaheuristic, Genetic Algorithm, Co-simulation

Abstract

The power distribution system has difficulties with regard to power loss and unacceptable voltage drops as a result of the rapidly expanding power system network, rising electrical energy consumption, and longer distances of power distribution. A typical strategy to address the issues with the distribution system is to perform distribution system reconfiguration. The study focuses on distribution feeder reconfiguration of the Katunje Feeder of Bhaktapur, Nepal where optimization problem is formulated to minimize the system active power loss and investment cost of the system. Genetic algorithm is employed in a co-simulation framework to solve the optimization problem where states of 26 different tie switches are to be altered to achieve the desired optimum results. Two cases are formulated: in case I active power loss is assigned more weight than investment cost whereas, in case II equal weights are assigned for active power loss and investment cost. The results showed the reduction in active power loss and investment cost for both the cases.  Case I resulted in more active power loss reduction compared to case II, and case II resulted in more investment cost reduction compared to case I. From this, decision makers can obtain insights in adopting one of the cases for distribution feeder reconfiguration based on technical consideration (active power loss reduction) or economic consideration (investment cost reduction).

Downloads

Download data is not yet available.
Abstract
84
PDF
52

Downloads

Published

2023-12-31

How to Cite

Gwachha, R., Malla, T. B., Bhattarai, Y., & Gautam, R. (2023). Distribution Network Reconfiguration Using Genetic Algorithm for Loss Reduction: A Case Study of Katunje Feeder, Bhaktapur. Journal of Science and Engineering, 10(1), 39–47. https://doi.org/10.3126/jsce.v10i1.61018

Issue

Section

Research Papers